Search Results - data processing methods

Development of digital twin of CNC unit based on machine learning methods by Yu. G. Kabaldin, D. A. Shatagin, M. S. Anosov, A. M. Kuzmishina

“…The work objective is to create neural network models to determine the operation of a CNC machine, its performance and dynamic stability under cutting.Materials and Methods. The development of mathematical models of machining processes using a sensor system and the Industrial Internet of Things is considered. …”
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An equipment behavioral study in fluidic production processes using data for an optimized predictive maintenance: Application to pneumatic valves in biopharmaceutical Industry by Wadel Florent, Tighazoui Ayoub, Houssin Remy, Coulibaly Amadou

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Digital Diplomacy in Russian International Studies: Research Methods by A. A. Pavlyuchenko

“…The author argues that although this method provides an opportunity to process a larger amount of data and to reduce the impact of subjective factors, it has its limitations, particularly, inability to take into account the visual component of publications and to place them within a wider information context. …”
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Facilitating Decision-Making Processes in Packaging and Graphic Media: A Review of MCDM Methods from 2008 to 2024 by Şeyma Bozkurt Uzan

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COMPUTERIZED OPTICAL EXPERIMENTS WITH PORTABLE SPECTROMETERS AND AMAZON WEB SERVICES CLOUD INTEGRATION by Andriy Krupych, Ivan Karbovnyk

“…The proposed solution enables real-time optical experiments, automates spectral data collection and processing, and ensures secure cloud storage for further analysis. …”
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Review of modern models and methods of analysis of time series of dynamics of processes in social, economic and socio-technical systems by E. G. Andrianova, S. A. Golovin, S. V. Zykov, S. A. Lesko, E. R. Chukalina

“…The general information on time series and tasks of their analysis is given. Modern methods of time series analysis for economic processes are considered. …”
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Quantum Computing Approach in K-Medoids Method for AIDS Disease Prediction Using Manhattan Distance by Mochamad Wahyudi, Imeldi Sintagel br Sianipar, Lise Pujiastuti, Solikhun Solikhun, Deny Kurniawan

“…The Manhattan distance is used because it is easier to process data. The quantum computing approach is used to overcome the limitations of classical computing when processing large-scale medical data. …”
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A reliable approach for identifying acute lymphoblastic leukemia in microscopic imaging by Mimosette Makem, Levente Tamas, Lucian Bușoniu

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Sales Segmentation Analysis of Tobacco Products Using the K-Means Clustering Method by Yance Sonatha, Aldo Erianda, Redhatul Fitri

“…Technological advancements have encouraged businesses to optimize data utilization, including in sales analysis. This study analyzes sales transaction data of tobacco products at Tobacco Shop Taste using the K-Means Clustering method. …”
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A new machine learning method for rainfall classification: temporal random tree by Kokten Ulas Birant, Bita Ghasemkhani, Özlem Varlıklar, Derya Birant

“…To address this issue, the article proposes a novel method, named temporal random tree (TRT), in which recent training samples have a greater impact on the model’s decision-making process. …”
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A Passive Time Reversal Method with a Metamodel for Underwater Source Localization by Jiang Liu, Sheng Li

“…This metamodel is optimally constructed based on measured sound field data. The method combines a metamodel with a passive time reversal (PTR) process to generate a focused sound field whose intensity peaks correspond to source positions. …”
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Assessing the temporal transferability of machine learning models for predicting processing pea yield and quality using Sentinel-2 and ERA5-land data by Michele Croci, Manuele Ragazzi, Alessandro Grassi, Giorgio Impollonia, Stefano Amaducci

“…Accurate pre-harvest prediction of yield and quality (tenderometric reading, TR) is crucial for the processing pea industry due to a narrow optimal harvest window. …”
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Data-Driven Spatial Analysis: A Multi-Stage Framework to Enhance Temporary Event Space Attractiveness by Yen-Khang Nguyen-Tran, Aliffi Majiid, Riaz-ul-haque Mian

“…Recent advancements in natural language processing (NLP) and AI have opened new possibilities for analyzing large-scale, multi-person interview data. …”
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Complex processing geophysical survey and selection of methods for detailing the geological structure of mega-reservoirs (Hayan block, of the Palmyride fold belt) by V. L. Schuster, O. V. Tyukavkina, I. Kartal

“…To conduct a combined processing of geophysical well data (GWD), including by using a correlation matrix, and to assess the applicability the results obtained as an express method for interpreting geophysical data and identifying the boundaries of the Kurrachine-Dolomite formation within the Hayan block and adjacent areas.Materials and methods. …”
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DBO-DELM Method for Predicting Rolling Forces in Cold Rolling by LI Xiaoyang, PIAO Chunhui, WANG Xuelei, ZHANG Mingzhi

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Enhanced Gold Ore Classification: A Comparative Analysis of Machine Learning Techniques with Textural and Chemical Data by Fabrizzio Rodrigues Costa, Cleyton de Carvalho Carneiro, Carina Ulsen

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RESEARCH OF TECHNICAL DATA MANAGEMENT AUTOMATION METHODS FOR DESIGN-ENGINEERING PREPARATION OF PRODUCTION AT LOW-VOLUME AND SERIES PRODUCTION ENTERPRISES by Sergey Aleksandrovich Sidorenko, Mikhail Aleksandrovich Vlasenko

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Improving Data Entry Quality in Enterprise Applications With NLP Methods: A Model Proposal Based on BERT and Deep Learning by H. Canli

“…Incorrect or incomplete data causes many problems such as prolonged approval processes, decreased trust in data, and negative impact on analysis capabilities. …”
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A study on data analysis utilizing the K-edge absorption spectroscopy in mixed thorium and uranium solutions by Han Yang, Li Li, Quanwei Liu, Yingjie Ma, Jianbin Zhou, Liudong Hou, Yongquan Qin, Yantao Hu, Jing Ma

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Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island by Sobisevich Aleksey, Steblov G. M., Agibalov A. O., Aleshin Igor, Balashov G. R., Kondratov A. D., Makeev V. M., Perederin V. P., Perederin F. V., Sentsov A., Kholodkov Kirill I.

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